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Self-Organized Lightwave Networks: Self-Aligned Coupling Optical Waveguides
by Tetsuzo YoshimuraThis book gives a solution to the problem of constructing lightwave paths in free spaces by proposing the concept of a Self-Organized Lightwave Network (SOLNET). This concept enables us to form self-aligned coupling optical waveguides automatically. SOLNETs are fabricated by self-focusing of lightwaves in photosensitive media, in which the refractive index increases upon light beam exposure, to realize the following functions: 1) Optical solder: Self-aligned optical couplings between misaligned devices with different core sizes 2) Three-dimensional optical wiring 3) Targeting lightwaves onto specific objects SOLNETs are expected to reduce the efforts to implement lightwaves into electronic systems and allow us to create new architectures, thus reducing costs and energy dissipation and improving overall system performance. SOLNETs are also expected to be applied to a wide range of fields where lightwaves are utilized, for example, solar energy conversion systems and biomedical technologies, especially photo-assisted cancer therapies. Readers will systematically learn concepts and features of SOLNETs, SOLNET performance predicted by computer simulations, experimental demonstrations for the proof of concepts, and expected applications. They will also be prepared for future challenges of the applications. This book is intended to be read by scientists, engineers, and graduate students who study advanced optoelectronic systems such as optical interconnects within computers and optical networking systems, and those who produce new ideas or strategies on lightwave-related subjects.
Self-Organized Lightwave Networks: Self-Aligned Coupling Optical Waveguides
by Tetsuzo YoshimuraThis book gives a solution to the problem of constructing lightwave paths in free spaces by proposing the concept of a Self-Organized Lightwave Network (SOLNET). This concept enables us to form self-aligned coupling optical waveguides automatically. SOLNETs are fabricated by self-focusing of lightwaves in photosensitive media, in which the refractive index increases upon light beam exposure, to realize the following functions: 1) Optical solder: Self-aligned optical couplings between misaligned devices with different core sizes 2) Three-dimensional optical wiring 3) Targeting lightwaves onto specific objects SOLNETs are expected to reduce the efforts to implement lightwaves into electronic systems and allow us to create new architectures, thus reducing costs and energy dissipation and improving overall system performance. SOLNETs are also expected to be applied to a wide range of fields where lightwaves are utilized, for example, solar energy conversion systems and biomedical technologies, especially photo-assisted cancer therapies. Readers will systematically learn concepts and features of SOLNETs, SOLNET performance predicted by computer simulations, experimental demonstrations for the proof of concepts, and expected applications. They will also be prepared for future challenges of the applications. This book is intended to be read by scientists, engineers, and graduate students who study advanced optoelectronic systems such as optical interconnects within computers and optical networking systems, and those who produce new ideas or strategies on lightwave-related subjects.
Self-Organized Quantum Dots for Memories: Electronic Properties and Carrier Dynamics (Springer Theses)
by Tobias NowozinToday’s semiconductor memory market is divided between two types of memory: DRAM and Flash. Each has its own advantages and disadvantages. While DRAM is fast but volatile, Flash is non-volatile but slow. A memory system based on self-organized quantum dots (QDs) as storage node could combine the advantages of modern DRAM and Flash, thus merging the latter’s non-volatility with very fast write times.This thesis investigates the electronic properties of and carrier dynamics in self-organized quantum dots by means of time-resolved capacitance spectroscopy and time-resolved current measurements. The first aim is to study the localization energy of various QD systems in order to assess the potential of increasing the storage time in QDs to non-volatility. Surprisingly, it is found that the major impact of carrier capture cross-sections of QDs is to influence, and at times counterbalance, carrier storage in addition to the localization energy. The second aim is to study the coupling between a layer of self-organized QDs and a two-dimensional hole gas (2DHG), which is relevant for the read-out process in memory systems. The investigation yields the discovery of the many-particle ground states in the QD ensemble. In addition to its technological relevance, the thesis also offers new insights into the fascinating field of nanostructure physics.
Self-Organizing Architectures: First International Workshop, SOAR 2009, Cambridge, UK, September 14, 2009, Revised Selected and Invited Papers (Lecture Notes in Computer Science #6090)
by Sam Malek Rogério De Lemos Jesper Andersson Danny Weyns
Self-organizing Coalitions for Managing Complexity: Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications (Emergence, Complexity and Computation #29)
by Juan C. BurguilloThis book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master’s students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models.
Self-Organizing Maps (Springer Series in Information Sciences #30)
by Teuvo KohonenThe second, revised edition of this book was suggested by the impressive sales of the first edition. Fortunately this enabled us to incorporate new important results that had just been obtained. The ASSOM (Adaptive-Subspace SOM) is a new architecture in which invariant-feature detectors emerge in an unsupervised learning process. Its basic principle was already introduced in the first edition, but the motiva tion and theoretical discussion in the second edition is more thorough and consequent. New material has been added to Sect. 5.9 and this section has been rewritten totally. Correspondingly, Sect. 1.4, which deals with adaptive subspace classifiers in general and constitutes the prerequisite for the ASSOM principle, has also been extended and rewritten totally. Another new SOM development is the WEBSOM, a two-layer architecture intended for the organization of very large collections of full-text documents such as those found in the Internet and World Wide Web. This architecture was published after the first edition came out. The idea and results seemed to be so important that the new Sect. 7.8 has now been added to the second edition. Another addition that contains new results is Sect. 3.15, which describes the acceleration in the computing of very large SOMs. It was also felt that Chap. 7, which deals with 80M applications, had to be extended.
Self-Organizing Migrating Algorithm: Methodology and Implementation (Studies in Computational Intelligence #626)
by Donald Davendra Ivan ZelinkaThis book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA.
Self-Organizing Natural Intelligence: Issues of Knowing, Meaning, and Complexity
by Myrna EstepThis book brings new scientific methods to intelligence research that is still under the influence of 19th century single causal theory and method. The author describes a rigorous and exhaustive classification of natural intelligence while demonstrating a more adequate scientific and mathematical approach than current statistical and psychometric approaches construct to shore up the out-dated and misused IQ hypothetical. The author demonstrates the superiority of a highly developed multidisciplinary-theory models view of intelligence.
Self-Organizing Neural Networks: Recent Advances and Applications (Studies in Fuzziness and Soft Computing #78)
by Udo SeiffertThe Self-Organizing Map (SOM) is one of the most frequently used architectures for unsupervised artificial neural networks. Introduced by Teuvo Kohonen in the 1980s, SOMs have been developed as a very powerful method for visualization and unsupervised classification tasks by an active and innovative community of interna tional researchers. A number of extensions and modifications have been developed during the last two decades. The reason is surely not that the original algorithm was imperfect or inad equate. It is rather the universal applicability and easy handling of the SOM. Com pared to many other network paradigms, only a few parameters need to be arranged and thus also for a beginner the network leads to useful and reliable results. Never theless there is scope for improvements and sophisticated new developments as this book impressively demonstrates. The number of published applications utilizing the SOM appears to be unending. As the title of this book indicates, the reader will benefit from some of the latest the oretical developments and will become acquainted with a number of challenging real-world applications. Our aim in producing this book has been to provide an up to-date treatment of the field of self-organizing neural networks, which will be ac cessible to researchers, practitioners and graduated students from diverse disciplines in academics and industry. We are very grateful to the father of the SOMs, Professor Teuvo Kohonen for sup porting this book and contributing the first chapter.
Self-Organizing Robots (Springer Tracts in Advanced Robotics #77)
by Satoshi Murata Haruhisa KurokawaIt is man’s ongoing hope that a machine could somehow adapt to its environment by reorganizing itself. This is what the notion of self-organizing robots is based on. The theme of this book is to examine the feasibility of creating such robots within the limitations of current mechanical engineering. The topics comprise the following aspects of such a pursuit: the philosophy of design of self-organizing mechanical systems; self-organization in biological systems; the history of self-organizing mechanical systems; a case study of a self-assembling/self-repairing system as an autonomous distributed system; a self-organizing robot that can create its own shape and robotic motion; implementation and instrumentation of self-organizing robots; and the future of self-organizing robots. All topics are illustrated with many up-to-date examples, including those from the authors’ own work. The book does not require advanced knowledge of mathematics to be understood, and will be of great benefit to students in the robotics discipline, including in the areas of mechanics, control, electronics, and computer science. It is also an important source for researchers who wish to investigate the field of robotics or who have an interest in the application of self-organizing phenomena.
Self-Organizing Systems: 5th International Workshop, IWSOS 2011, Karlsruhe, Germany, February 23-24, 2011, Proceedings (Lecture Notes in Computer Science #6557)
by Christian Bettstetter Carlos GershensonThis book constitutes the refereed proceedings of the 5th International Workshop on Self-Organizing Systems, IWSOS 2011, held in Karlsruhe, Germany, in February 2011. The 9 revised full papers presented together with 1 invited paper were carefully selected from 25 initial submissions. It was the 5th workshop in a series of multidisciplinary events dedicated to self-organization in networked systems with main focus on communication and computer networks. The papers address theoretical aspects of self-organization as well as applications in communication and computer networks and robot networks.
Self-Organizing Systems: 7th IFIP TC6 International Workshop, IWSOS 2013, Palma de Mallorca, Spain, May 9-10, 2013, Revised Selected Papers (Lecture Notes in Computer Science #8221)
by Wilfried Elmenreich Falko Dressler Vittorio LoretoThis book constitutes the thoroughly refereed post-conference proceedings of the 7th IFIP TC 6 International Workshop on Self-Organizing Systems, IWSOS 2013, held in Palma de Mallorca, Spain, in May 2013. The 11 revised full papers and 9 short papers presented were carefully selected from 35 paper submissions. The papers are organized in following topics: design and analysis of self-organizing and self-managing systems, inspiring models of self-organization in nature and society, structure, characteristics and dynamics of self-organizing networks, self-organization in techno-social systems, self-organized social computation and self-organized communication systems.
Self-Organizing Systems: Third International Workshop, IWSOS 2008, Vienna, Austria, December 10-12, 2008 (Lecture Notes in Computer Science #5343)
by Karin Anna Hummel James P. G. SterbenzThis book constitutes the refereed proceedings of the Third International Workshop on Self-Organizing Systems, IWSOS 2008, held in Vienna, Austria, December 10-12, 2008. The 20 revised full papers and 13 revised short papers presented were carefully selected from the 70 full and 24 short paper submissions from authors from 33 different countries. The papers are organized in topical sections on peer-to-peer systems, overlay networks as well as resource and service management.
Self-Organizing Systems: Second International Workshop, IWSOS 2007, The Lake District, UK, September 11-13, 2007, Proceedings (Lecture Notes in Computer Science #4725)
by David Hutchison Randy H. KatzThis book constitutes the refereed proceedings of the Second International Workshop on Self-Organizing Systems, IWSOS 2007. The 17 revised full papers and five revised short papers presented together with two invited talks were carefully selected from more than 36 submissions. The papers are organized in topical sections on ad hoc routing, peer-to-peer networking, network topology, adaptive and self-organizing networks and multicast and mobility protocols.
Self-Organizing Systems: 6th IFIP TC 6 International Workshop, IWSOS 2012, Delft, The Netherlands, March 15-16, 2012, Proceedings (Lecture Notes in Computer Science #7166)
by Fernando A. Kuipers Poul E. HeegaardThis book constitutes the refereed proceedings of the 6th IFIP TC 6 International Workshop on Self-Organizing Systems, IWSOS 2012, held in Delft, The Netherlands, in March 2012. The 5 revised full papers and 5 short papers presented together with 2 invited papers were carefully selected from 25 full paper and 8 short paper submissions. The papers address the following key topics: design and analysis of self-organizing and self-managing systems; inspiring models of self-organization in nature and society; structure, characteristics and dynamics of self-organizing networks; techniques and tools for modeling self-organizing systems; robustness and adaptation in self-organizing systems; self-organization in complex networks like peer-to-peer, sensor, ad-hoc, vehicular and social networks; control of self-organizing systems; decentralized power management in the smart grid; self-organizing group and pattern formation; self-organizing mechanisms for task allocation, coordination and resource allocation; self-organizing information dissemination and content search; and risks and limits of self-organization.
Self-Organizing Systems: First International Workshop, IWSOS 2006 and Third International Workshop on New Trends in Network Architectures and Services, EuroNGI 2006, Passau, Germany, September 18-20, 2006, Proceedings (Lecture Notes in Computer Science #4124)
by Hermann De Meer James P. G. SterbenzThis book constitutes the refereed proceedings of the First International Workshop on Self-Organizing Systems, IWSOS 2006. The book offers 16 revised full papers and 6 revised short papers together with 2 invited talks and 3 poster papers. The papers are organized in topical sections on dynamics of structured and unstructured overlays, self-organization in peer-to-peer networks, self-organization in wireless environments, self-organization in distributed and grid computing, self-managing and autonomic computing, and more.
Self-Organizing Systems: 4th IFIP TC 6 International Workshop, IWSOS 2009, Zurich, Switzerland, December 9-11, 2009, Proceedings (Lecture Notes in Computer Science #5918)
by Thrasyvoulos Spyropoulos Karin Anna HummelThis book constitutes the refereed proceedings of the 4th International Workshop on Self-Organizing Systems, IWSOS 2009, held in Zurich, Switzerland, in December 2009. The 14 revised full papers and 13 revised short papers presented were carefully selected from the 34 full and 27 short paper submissions. The papers are organized in topical sections on ad hoc and sensor networks; services, storage, and internet routing; peer-to-peer systems; theory and general approaches; overlay networks; peer-to-peer systems and internet routing; wireless networks; and network topics.
Self-Powered AIoT Systems
by Niranjan N. Chiplunkar Rathishchandra R. Gatti Chandra Singh K.V.S.S.S.S. SairamThis new volume focuses on design principles for building self-powered AIoT (artificial intelligence of things) applications and their subsequent deployment. The book introduces the futuristic concepts of AIoT by incorporating self-powered systems, firstly by informing the reader of current AI/ML techniques and IoT technologies and then showing the path towards convergence of AI/IoT towards AIoT. The book also explains the many possible diverse applications of AIoT.The combination of IoT for sensing and aggregation of data from the surroundings and AI for analysis and decision-making will expand cyber-physical intelligence towards achieving complete autonomy. However, as the deployment of sensors becomes increasingly ubiquitous, there will be a massive amount of sensor data aggregation and analyses for autonomous decision-making capabilities of AIoT products. This calls for substantial research and product development in self-powered technologies such as energy harvesters, supercapacitors, energy storage devices for energy generation, and energy-efficient technologies such as ultra-low power (ULP) microcontrollers, ULP microprocessors, and ULP smart sensors and actuators. This volume helps to fill that gap.The volume presents research and product development towards structured convergence of self-powered systems, leading to pragmatic R&D deliverables for new products and services. The book is the first of its kind on reporting how the current AI and IoT are progressing toward the vision of AIoT. It goes one step further by integrating AIoT with self-powered systems to make them fully autonomous. Convergence will happen as the data volume increases, which is why the IT giants are betting on AIoT. This volume explores the hidden compatibility of self-powered AIoT.
Self-Powered AIoT Systems
This new volume focuses on design principles for building self-powered AIoT (artificial intelligence of things) applications and their subsequent deployment. The book introduces the futuristic concepts of AIoT by incorporating self-powered systems, firstly by informing the reader of current AI/ML techniques and IoT technologies and then showing the path towards convergence of AI/IoT towards AIoT. The book also explains the many possible diverse applications of AIoT.The combination of IoT for sensing and aggregation of data from the surroundings and AI for analysis and decision-making will expand cyber-physical intelligence towards achieving complete autonomy. However, as the deployment of sensors becomes increasingly ubiquitous, there will be a massive amount of sensor data aggregation and analyses for autonomous decision-making capabilities of AIoT products. This calls for substantial research and product development in self-powered technologies such as energy harvesters, supercapacitors, energy storage devices for energy generation, and energy-efficient technologies such as ultra-low power (ULP) microcontrollers, ULP microprocessors, and ULP smart sensors and actuators. This volume helps to fill that gap.The volume presents research and product development towards structured convergence of self-powered systems, leading to pragmatic R&D deliverables for new products and services. The book is the first of its kind on reporting how the current AI and IoT are progressing toward the vision of AIoT. It goes one step further by integrating AIoT with self-powered systems to make them fully autonomous. Convergence will happen as the data volume increases, which is why the IT giants are betting on AIoT. This volume explores the hidden compatibility of self-powered AIoT.
Self-Powered Cyber Physical Systems
by Rathishchandra R. Gatti Rajeev Agrawal Felcy Jyothi Serrao Chandra SinghThis book is an attempt to aim at a very futuristic vision of achieving self-powered cyber-physical systems by applying a multitude of current technologies such as ULP electronics, thin film electronics, ULP transducers, autonomous wireless sensor networks using energy harvesters at the component level and energy efficient clean energy for powering data centers and machines at the system level. This is the need of the hour for cyber-physical systems since data requires energy when it is stored, transmitted, or converted to other forms. Cyber-physical systems will become energy hungry since the industry trend is towards ubiquitous computing with massive deployment of sensors and actuators. This is evident in using blockchain technologies such as Bitcoin or running epochs for artificial intelligence (AI) applications. Hence, there is a need for research to understand energy patterns and distribution in cyber-physical systems and adopt new technologies to transcend to self-powered cyber-physical systems. This book explores the recent trends in energy management, self-powered devices, and methods in the cyber-physical world. Written and edited by a team of experts in the field, this book tackles a multitude of subjects related to cyber physical systems (CPSs), including self-powered sensory transducers, ambient energy harvesting for wireless sensor networks, actuator methods and non-contact sensing equipment for soft robots, alternative optimization strategies for DGDCs to improve task distribution and provider profits, wireless power transfer methods, machine learning algorithms for CPS and IoT applications, integration of renewables, electric vehicles (EVs), smart grids, RES micro-grid and EV systems for effective load matching, self-powered car cyber-physical systems, anonymous routing and intrusion detection systems for VANET security, data-driven pavement distress prediction methods, the impact of autonomous vehicles on industries and the auto insurance market, Intelligent transportation systems and associated security concerns, digital twin prototypes and their automotive applications, farming robotics for CPS farming, self-powered CPS in smart cities, self-powered CPS in healthcare and biomedical devices, cyber-security considerations, societal impact and ethical concerns, and advances in human-machine interfaces and explore the integration of self-powered CPS in industrial automation. Whether for the veteran engineer or student, this volume is a must-have for any library.
Self-Powered Cyber Physical Systems
by Rathishchandra R. Gatti Chandra Singh Rajeev Agrawal Felcy Jyothi SerraoSELF-POWERED CYBER PHYSICAL SYSTEMS This cutting-edge new volume provides a comprehensive exploration of emerging technologies and trends in energy management, self-powered devices, and cyber-physical systems, offering valuable insights into the future of autonomous systems and addressing the urgent need for energy-efficient solutions in a world that is increasingly data-driven and sensor-rich. This book is an attempt to aim at a very futuristic vision of achieving self-powered cyber-physical systems by applying a multitude of current technologies such as ULP electronics, thin film electronics, ULP transducers, autonomous wireless sensor networks using energy harvesters at the component level and energy efficient clean energy for powering data centers and machines at the system level. This is the need of the hour for cyber-physical systems since data requires energy when it is stored, transmitted, or converted to other forms. Cyber-physical systems will become energy hungry since the industry trend is towards ubiquitous computing with massive deployment of sensors and actuators. This is evident in using blockchain technologies such as Bitcoin or running epochs for artificial intelligence (AI) applications. Hence, there is a need for research to understand energy patterns and distribution in cyber-physical systems and adopt new technologies to transcend to self-powered cyber-physical systems. This book explores the recent trends in energy management, self-powered devices, and methods in the cyber-physical world. Written and edited by a team of experts in the field, this book tackles a multitude of subjects related to cyber physical systems (CPSs), including self-powered sensory transducers, ambient energy harvesting for wireless sensor networks, actuator methods and non-contact sensing equipment for soft robots, alternative optimization strategies for DGDCs to improve task distribution and provider profits, wireless power transfer methods, machine learning algorithms for CPS and IoT applications, integration of renewables, electric vehicles (EVs), smart grids, RES micro-grid and EV systems for effective load matching, self-powered car cyber-physical systems, anonymous routing and intrusion detection systems for VANET security, data-driven pavement distress prediction methods, the impact of autonomous vehicles on industries and the auto insurance market, Intelligent transportation systems and associated security concerns, digital twin prototypes and their automotive applications, farming robotics for CPS farming, self-powered CPS in smart cities, self-powered CPS in healthcare and biomedical devices, cyber-security considerations, societal impact and ethical concerns, and advances in human-machine interfaces and explore the integration of self-powered CPS in industrial automation. Whether for the veteran engineer or student, this volume is a must-have for any library.
Self-Powered Internet of Things: How Energy Harvesters Can Enable Energy-Positive Sensing, Processing, and Communication (Green Energy and Technology)
by Muhammad Moid Sandhu Sara Khalifa Marius Portmann Raja JurdakThis book covers cutting edge advancements on self-powered Internet of Things, where sensing devices can be energy-positive while capturing context from the physical world. It provides new mechanisms for activity recognition without the need of conventional inertial sensors, which demand significant energy during their operation and thus quickly deplete the batteries of internet-of-things (IoT) devices. The book offers new solutions by employing energy harvesters as activity sensors as well as power sources to enable the autonomous and self-powered operation of IoT devices without the need of human intervention. It provides useful content for graduate students as well as researchers to understand the nascent technologies of human activity, fitness and health monitoring using autonomous sensors. In particular, this book is very useful for people working on pervasive computing, activity recognition, wearable IoT, fitness/healthcare and autonomous systems.This book covers a broad range of topics related to self-powered activity recognition. The main topics of this book include wearables, IoT, energy harvesting, energy harvesters as sensors, activity recognition and self-powered operation of IoT devices. This book starts with the introduction of wearable IoT devices and activity recognition and then highlights the conventional activity recognition mechanisms. After that, it describes the use of energy harvesters to power the IoT devices. Later, it explores the use of various energy harvesters as activity sensors. It also proposes the use of energy harvesters as simultaneous source of energy and context information and defines the emerging concept of energy-positive sensing compared to conventional energy-negative sensing. Finally, it explores sensor/signal fusion to enhance the performance using multiple energy harvesters and charts a way forward for future research in this area. This book covers all important and emerging topics that have significance in the design and implementation of autonomous wearable IoT devices. We believe that this book will lay the foundation for designing self-powered IoT devices which can ultimately replace the conventional wearable IoT devices which need regular recharging and replacement.
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias (Analog Circuits and Signal Processing)
by Hani Saleh Nourhan Bayasi Baker Mohammad Mohammed IsmailThis book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs.
Self-Regulated Learning in Technology Enhanced Learning Environments: A European Perspective (Technology Enhanced Learning #5)
by Robert Carneiro Paul Lefrere Karl Steffens Jean UnderwoodSelf-regulated learning (SRL) subsumes key aspects of the learning process, such as cognitive strategies, metacognition and motivation, in one coherent construct. Central to this construct are the autonomy and responsibility of students to take charge of their own learning. Skills for self-regulation can be encouraged both directly and indirectly through a range of learning activities. In this book we look specifically at the ways in which technology enhanced learning environments (TELEs) have been used to support self-regulation. The book provides an overview of recent studies on SRL in TELEs in Europe – a perspective which is new and has not been articulated hitherto. It addresses conceptual and methodological questions as well as practices in technology enhanced learning. While the focus is on European studies, we are aware that much of the groundwork in the field of SRL has emanated from the United States. The book is divided into three parts: (A) Foundations of SRL in TELEs, (B) Empirical studies on SRL in TELEs and (C) SRL in TELEs: perspectives on future developments. The book presents a rich resource of information for researchers and educators at all levels who are interested in supporting the acquisition of SRL through TELEs.
Self-Regulation in Activity Theory: Applied Work Design for Human-Computer and Human-Machine Systems
by Gregory Z. Bedny Waldemar Karwowski Inna BednyEvery complex human-machine system includes a computer as a critically important means of work. However, an operator's interaction with a computerized system cannot be reduced to only performing computer-based tasks. Today human-computer interaction (HCI) is not limited to trained software users. People of all ages use all different kinds of gadget